Using WRF mesoscale model to restore temperature profile in atmosphere boundary layer in Tomsk

Akhmetshina, A. S.; Kizhner, Lubov I.; Kuzhevskaia, Irina V.; Bart, Andrey A.; Zuev, V. S.; Shelekhov, Alexander P.

doi:10.1117/12.2205590

Cited by 4 publications

(2 citation statements)

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“…The WRF model, in this case, captured the development of the surface inversion but did not replicate the full complexity of the multi-layered structure. Similar limitations of the WRF model for simulating multilayered inversions have been reported in studies of other cities, such as Tomsk, Russia [54].…”

Section: Inversion Layersupporting

confidence: 77%

Investigating Stagnant Air Conditions in Almaty: A WRF Modeling Approach

Dedova,

Balakay,

Zakarin

et al. 2024

Atmosphere

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This study investigates stagnant atmospheric conditions in Almaty, Kazakhstan, a city nestled within a complex terrain. These conditions, characterized by weak local winds and inversion layers, trap pollutants within the city, particularly during winter. The Weather Research & Forecasting (WRF) model was employed to simulate atmospheric conditions using Local Climate Zone data. Verification of the model’s accuracy was achieved through comparisons with data from weather stations and the Landsat-9 satellite. The model successfully reproduced the observed daily temperature variations and weak winds during the testing period (13–23 January 2023). Comparisons with radiosonde data revealed good agreement for morning temperature profiles, while underestimating the complexity of the evening atmospheric structure. The analysis focused on key air quality factors, revealing cyclical patterns of ground-level and elevated inversions linked to mountain-valley circulation. The model effectively captured anabatic and katabatic flows. The study further examined the urban heat island (UHI) using a virtual rural method. The UHI exhibited daily variations in size and temperature, with heat transported by prevailing winds and katabatic flows. Statistical analysis of temperature and wind patterns under unfavorable synoptic situations revealed poor ventilation in Almaty. Data from three Januaries (2022/2023/2024) were used to create maps showing average daytime and nighttime air temperatures, wind speed, and frequency of calm winds.

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Section: Inversion Layersupporting

confidence: 77%

Investigating Stagnant Air Conditions in Almaty: A WRF Modeling Approach

Dedova,

Balakay,

Zakarin

et al. 2024

Atmosphere

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“…The Weather Research and Forecasting (WRF) is the latest-generation mesoscale numerical weather prediction model and was developed by the National Center for Atmospheric Research (NCAR), the Pacific Northwest National Laboratory (PNNL) and the National Oceanic and Atmospheric Administration (NOAA) (Peckham, 2012). The WRF mesoscale meteorological model is usually used in the field of atmospheric science to predict meteorological conditions on a large scale, and it can also be used as a pollutant-driving field in the field of air quality model and computational fluid dynamics (Akhmetshina et al, 2015). WRF has two versions: ARW (Advanced Research WRF), developed from the MM5 model and NMM (Nonhydrostatic Mesoscale Model) developed from the Eta model.…”

Section: Calpuff and Wrfmentioning

confidence: 99%

Dust Diffusion in Large-Scale Urban Construction Combining WRF and Calpuff Model—take Xiamen as an Example

Zhou,

Gao,

Deng

2023

Journal of Environmental Engineering and Landscape Management

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With the increasing number of construction sites in cities, construction dust, as one of the essential factors affecting the atmospheric environment, urgently needs more attention. Most existing studies have studied construction dust and other particle sources comprehensively. There remains a need for research on large-scale diffusion ultimately aiming at construction dust, especially studies on the diffusion law of dust generated only by construction dust at a large-scale city level where all construction sites within the city working at the same time. To systematically explore the diffusion distribution of construction dust in such a situation, this paper takes Xiamen as the research object and puts forward a large-scale construction dust diffusion research method by integrating emission factors and combining WRF and CALPUFF model. The spatial distribution of PM10 emission during the simultaneous construction of all sites in Xiamen in 2019 was simulated. The diffusion law of dust in large-scale construction in Xiamen is obtained. On this basis, the regional contribution of construction dust PM10 in various districts of Xiamen and the best start month of each district are obtained, which provides valuable suggestions for government construction control. This research method can be effectively applied to cities similar to Xiamen.

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